Operations | Monitoring | ITSM | DevOps | Cloud

In the world of containers and Kubernetes, observability is crucial. Cluster administrators need visibility into the infrastructure and cluster operators need to know the status of their workloads at any given time. And in both cases, they need observability into moving objects. This is where Metricbeat and its autodiscover feature do the hard part for you.

Another year of empowering DevOps teams has passed and what a year it’s been! I’d like to take a moment to reflect on the journey, the milestones and challenges this past year encompassed. The last year has been our most transformational to date. We’ve had a huge amount of ups and downs and I’m incredibly proud to say that we got through it and our organization is more resilient, more aligned in our vision and closer as a result.

Puppet is a Continuous Configuration Automation tool that’s you can use to automate the configuration of your entire infrastructure. You can use it to manage the configuration of anywhere from a few, to thousands of servers or devices. Puppet consists of two main components: The Puppet Server The Puppet server is where you create and store your configurations and define which nodes specific configurations will be applied to.

The Kubernetes 1.19 release candidate is now available for download and experimentation ahead of general availability later this month. You can try it now with MicroK8s. To get the latest Kubernetes on your machine, install MicroK8s and get a lightweight, zero-ops K8s cluster in no time: Or install from https://snapcraft.io/microk8s and select 1.19/candidate You can install MicroK8s on Ubuntu and all major Linux distributions or on Windows and macOS using native installers.

Being in the DevOps space, we're often asked questions about software deployment like, "What's the difference between continuous deployment and continuous delivery?", "What is continuous deployment?", and "Are continuous deployment and continuous delivery the same thing?" So first, let's start by clearly defining these terms.

Yes, everyone is talking about the cloud, but are they actually ‘doing it’? The short answer is yes, and in stunning numbers. According to a recent O’Reilly survey, 90+% of organizations expect to increase their usage of cloud-based infrastructure. Over the next 12 months, 67% expect to shift half or more of their applications to the cloud, and 45% are planning to move three-quarters or more of their apps.

This release broadens our commitment to open standards, interoperability, and extensibility with a new generic Prometheus collector that works seamlessly with any application that makes its metrics available in the Prometheus/OpenMetrics exposition format, including support for Windows 10 via windows_exporter. Netdata will autodetect over 600 Prometheus endpoints and instantly generate charts with all the exposed metrics, meaningfully visualized.

At LogicMonitor, we deal primarily with large quantities of time series data. Our backend infrastructure processes billions of metrics, events, and configurations daily. In previous blogs, we discussed our transition from monolith to microservice. We also explained why we chose Quarkus as our microservices framework for our Java-based microservices. In this blog we will cover.